Ah, thank you.  I'll post the issue and see if I can get homebrew to 
resolve it!

On Monday, October 12, 2020 at 2:29:10 PM UTC-4 [email protected] wrote:

> You don't need different TARGETs. `DYNAMIC_ARCH=1` means that it will 
> detect at runtime what the CPU is and will use the kernel matching the CPU 
> at runtime. `TARGET` gives the oldest CPU that this code will run on so 
> that the common code is compiled to target this.
>
> Isuru
>
> On Mon, Oct 12, 2020 at 1:24 PM Zachary Scherr <[email protected]> wrote:
>
>> I posted about it on their discussion page, but I'm not sure there will 
>> be anything they can do.  They build their libraries on several different 
>> versions of MacOS, but I'm not sure they build with several different 
>> TARGETS.  I can try to pursue this, but the easy fix for now is that if 
>> people want to install openblas via homebrew they should install from 
>> source.
>>
>> On Monday, October 12, 2020 at 2:09:28 PM UTC-4 [email protected] wrote:
>>
>>> On Mon, Oct 12, 2020 at 6:17 PM Isuru Fernando <[email protected]> 
>>> wrote: 
>>> > 
>>> > I looked at the openblas formula in homebrew and they are not passing 
>>> the TARGET option. When using DYNAMIC_ARCH=1, a target should be specified. 
>>>
>>> care to open an issue with them on 
>>> https://github.com/Homebrew/homebrew-core ? 
>>>
>>> > 
>>> > Isuru 
>>> > 
>>> > On Mon, Oct 12, 2020 at 11:34 AM Zachary Scherr <[email protected]> 
>>> wrote: 
>>> >> 
>>> >> In case anyone is curious, I've tracked the problem down to 
>>> homebrew's openBLAS and so it has nothing to do with sage. If I build numpy 
>>> from source through homebrew then I get exactly the same error using my 
>>> system python3. I'm wondering if maybe this has something to do with the 
>>> fact that openBLAS is bottled with a different processor type than the one 
>>> that is on my system. In any case I'll ask over there and see if I can get 
>>> some help. 
>>> >> 
>>> >> On Sunday, October 11, 2020 at 10:17:43 PM UTC-4 Zachary Scherr 
>>> wrote: 
>>> >>> 
>>> >>> Hi Dima, 
>>> >>> 
>>> >>> My system-wide numpy is installed via pip. I was just remarking that 
>>> I didn't build my system-wide numpy from source so it's not a fair 
>>> comparison. It's possible that the issues aren't sage related but are 
>>> related to building sage's numpy against some homebrew libraries. 
>>> >>> 
>>> >>> On Sunday, October 11, 2020 at 8:11:13 PM UTC-4 [email protected] 
>>> wrote: 
>>> >>>> 
>>> >>>> On Mon, Oct 12, 2020 at 1:00 AM Zachary Scherr <[email protected]> 
>>> wrote: 
>>> >>>> > 
>>> >>>> > That also crashes with: 86622 segmentation fault ./sage --python 
>>> >>>> > 
>>> >>>> > I tested this both with building sage against homebrew python 
>>> 3.8.6 and against sage's default python 3.8.5 and the same error occurred 
>>> in both cases. I don't have this problem using my system-wide numpy so it's 
>>> possible that because sage numpy is built from source that maybe one of my 
>>> homebrew libraries is causing issues. I found 
>>> https://github.com/numpy/numpy/issues/11551 which could be relevant and 
>>> might indicate that it's not a sage problem. 
>>> >>>> 
>>> >>>> If you are talking about Homebrew's numpy, it should be more or 
>>> less 
>>> >>>> identical with Sage's numpy (assuming you use Homebrew's openblas 
>>> in 
>>> >>>> Sage) 
>>> >>>> cf. 
>>> https://github.com/Homebrew/homebrew-core/blob/master/Formula/numpy.rb 
>>> >>>> 
>>> >>>> > 
>>> >>>> > I should also add that if I lower the dimension of x to 100000 
>>> then it works without problem. 
>>> >>>> > 
>>> >>>> > On Sunday, October 11, 2020 at 3:26:11 PM UTC-4 [email protected] 
>>> wrote: 
>>> >>>> >> 
>>> >>>> >> On Sun, Oct 11, 2020 at 8:14 PM Zachary Scherr <[email protected]> 
>>> wrote: 
>>> >>>> >> > 
>>> >>>> >> > Hi All, 
>>> >>>> >> > 
>>> >>>> >> > I was doing some bug hunting and noticed that scipy's pytests 
>>> crashed pretty early. I tracked down exactly what was causing the problem 
>>> and noticed it can be reproduced by the following sequence of commands: 
>>> >>>> >> > 
>>> >>>> >> > sage: import numpy as np 
>>> >>>> >> > sage: x = np.random.randn(1000000,2) 
>>> >>>> >> > sage: y = np.random.randn(2,2) 
>>> >>>> >> > sage: x.dot(y) 
>>> >>>> >> 
>>> >>>> >> please test this in "plain" Sage python, i.e. does 
>>> >>>> >> 
>>> >>>> >> ./sage --python 
>>> >>>> >> 
>>> >>>> >> >>> import numpy as np 
>>> >>>> >> >>> x = np.random.randn(1000000,2) 
>>> >>>> >> >>> y = np.random.randn(2,2) 
>>> >>>> >> >>> x.dot(y) 
>>> >>>> >> 
>>> >>>> >> reproduce the crash? 
>>> >>>> >> 
>>> >>>> >> 
>>> >>>> >> 
>>> >>>> >> > 
>>> >>>> >> > produces: 
>>> >>>> >> > 
>>> >>>> >> > 
>>> ------------------------------------------------------------------------ 
>>> >>>> >> > 0 signals.cpython-38-darwin.so 0x00000001088bc62a 
>>> print_backtrace + 58 
>>> >>>> >> > 1 signals.cpython-38-darwin.so 0x00000001088c0277 sigdie + 39 
>>> >>>> >> > 2 signals.cpython-38-darwin.so 0x00000001088c0212 
>>> sigdie_for_sig + 290 
>>> >>>> >> > 3 libsystem_platform.dylib 0x00007fff6c88e5fd _sigtramp + 29 
>>> >>>> >> > 
>>> ------------------------------------------------------------------------ 
>>> >>>> >> > Unhandled SIGBUS: A bus error occurred. 
>>> >>>> >> > This probably occurred because a *compiled* module has a bug 
>>> >>>> >> > in it and is not properly wrapped with sig_on(), sig_off(). 
>>> >>>> >> > Python will now terminate. 
>>> >>>> >> > 
>>> ------------------------------------------------------------------------ 
>>> >>>> >> > /Users/zscherr/sage/src/bin/sage-python: line 2: 78812 Bus 
>>> error: 10 sage -python "$@" 
>>> >>>> >> > 
>>> >>>> >> > I haven't tested on any other platforms, but for what it's 
>>> worth I have Catalina 10.15.7 with Xcode 12. 
>>> >>>> >> > 
>>> >>>> >> > Thanks, 
>>> >>>> >> > Zach 
>>> >>>> >> > 
>>> >>>> >> > -- 
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>>>
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